Evidence map›Paper›PMID 42682778›Full record

ArticleFrontiers in pediatrics2026

Exploring the impact of DEP on pediatric Crohn's disease using machine learning and molecular docking methods.

Lei Zhang, Xingyu Ji, Su Ma, Huimin Chen

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Article in Frontiers in pediatrics, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Lei ZhangDepartment of Gastroenterology, Donghai County People's Hospital, Lianyungang, China.
Xingyu JiDepartment of Gastroenterology, Donghai County People's Hospital, Lianyungang, China.
Su MaDepartment of Gastroenterology, The Third Affiliated Hospital of Dali University, Dali, China.
Huimin ChenDepartment of Gastroenterology, Donghai County People's Hospital, Lianyungang, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Diethyl phthalate (DEP) is a prevalent plasticizer with multiple toxic effects and high bioavailability in humans, especially children. Pediatric Crohn's disease (PCD) is a severe chronic intestinal inflammatory disorder with a rising incidence worldwide. To date, the potential associative relationship between DEP exposure and PCD pathogenesis remains inadequately clarified, lacking systematic transcriptomic and experimental exploration. Methods: In this study, bioinformatics analysis was performed based on 682 PCD samples and 127 normal samples retrieved from multiple GEO datasets. A series of analytical strategies including differential expression analysis, weighted gene co-expression network analysis (WGCNA), compound target prediction, functional enrichment analysis, machine learning modeling, and molecular docking simulation were comprehensively utilized, followed by preliminary animal validation. All analyses in this study focused on exploring statistical correlation rather than causal relationships, given the absence of individual DEP exposure data and inherent methodological limitations. Results: Through differential analysis and WGCNA, 24 differentially expressed genes and 194 chemical targets from ChEMBL were obtained, among which 14 overlapping genes were identified. GO and KEGG analyses indicated that DEP may contribute to PCD toxicity by regulating nucleotide synthesis and amino acid metabolism. Five core genes were screened via machine learning and SHAP analysis. Animal experiments verified that PLAU protein expression in DEP, TNBS, and DEP + TNBS groups was notably higher than in the control colon tissue. Conclusion: This study systematically explores the potential associative links between DEP-related molecular dysregulation and PCD pathological alterations at the transcriptomic and tissue levels. The findings provide preliminary scientific references for understanding DEP-associated pediatric intestinal health risks and developing targeted preventive strategies for children's environmental health protection.

Indexed as

Crohn's diseasediethyl phthalatemachine learningmolecular dockingpediatric

Identifiers

PMID42682778
PMCPMC13529756

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.